Emergency Group Decision Making Method Based on Non-Additive BWM Considering Preference Adjustment Efficiency in Uncertain Environments
To address the complementary and redundant effects of attributes and the inefficiency of adjusting inconsistent preference information in the emergency group decision-making problem,this paper constructs an emergency decision-making model based on fuzzy measure theory and the best-worst method(BWM).First,given the complexity of the emergency decision-making environment and the uncertainty of decision-makers,we use the flexible linguistic preference relation to depict the intensity of an individual's preference for attributes.We establish a minimum infor-mation loss model based on the idea of minimum preference adjustment to generate the collective pairwise comparison preference vectors of attributes.Second,to ensure the timeliness of emergency decision-making and the rationality of decision results,a nonadditive BWM optimization model considering preference adjustment efficiency is proposed.This model can not only improve the decision-making efficiency of the BWM but also reflect the impact of attribute complementary and redundant effects on the ranking of emergency alternatives.Finally,we take the extremely heavy rainstorm emergency event in Zhengzhou as an example to verify the feasibility and effective-ness of the proposed method.The results show that the proposed method can help improve the efficiency and quality of emergency decision-making,and is suitable for the complex and uncertain emergency decision-making environments.
Preference adjustment efficiencynonadditive BWMattribute interac-tionsflexible linguisticemergency group decision-making
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